iPad17,3
Geekbench AI Score
13297
Single Precision Score
23322
Half Precision Score
23239
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6173
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10367
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9717
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9972
161.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15217
246.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16619
269.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37083
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89361
104.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105092
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
6293
499.2 IPS |
|
|
Object Detection (HP)
|
100% |
10912
865.6 IPS |
|
|
Object Detection (Q)
|
93% |
9837
784.8 IPS |
|
|
Face Detection (SP)
|
100% |
18314
217.6 IPS |
|
|
Face Detection (HP)
|
100% |
32076
381.1 IPS |
|
|
Face Detection (Q)
|
100% |
26176
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27606
212.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51242
394.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
50985
398.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78122
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164275
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
200669
259.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15563
574.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30742
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28387
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6641
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6655
115.0 IPS |
